Sahil Singla
18 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (9) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5)
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Conference Polyglot
(7)
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(6)
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(5)
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(12)
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(18)
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The Questioner
Conferences
NIPS (5)
ICLR (4)
ICML (4)
CVPR (2)
COLT (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
adversarial robustness
(3)
image classification
(3)
convolutional neural network
(2)
lipschitz constraint
(2)
neural network
(2)
certified robustness
(2)
model robustness
(1)
online learning
(1)
semantic segmentation
(1)
text-to-image generation
(1)
model debugging
(1)
label noise
(1)
feature space
(1)
saliency map
(1)
deep neural network
(1)
adversarial training
(1)
sublinear regret
(1)
human feedback
(1)
reward learning
(1)
sample complexity
(1)
Papers
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
ICML 2025
Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation
CVPR 2025
Sample Complexity of Posted Pricing for a Single Item
NIPS 2024
e-COP : Episodic Constrained Optimization of Policies
NIPS 2024
Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval
WACV 2024
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
NIPS 2023
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues
NIPS 2022
Improved techniques for deterministic l2 robustness
NIPS 2022
Salient ImageNet: How to discover spurious features in Deep Learning?
ICLR 2022
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
ICLR 2022
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
ICLR 2021
Understanding Failures of Deep Networks via Robust Feature Extraction
CVPR 2021
Skew Orthogonal Convolutions
ICML 2021
Low Curvature Activations Reduce Overfitting in Adversarial Training
ICCV 2021
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers
ICLR 2021
Online Learning with Vector Costs and Bandits with Knapsacks
COLT 2020
Second-Order Provable Defenses against Adversarial Attacks
ICML 2020
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
ICML 2019